Literature DB >> 10924487

The relationship between count-location and stationary renewal models for the chiasma process.

S Browning1.   

Abstract

It is often convenient to define models for the process of chiasma formation at meiosis as stationary renewal models. However, count-location models are also useful, particularly to capture the biological requirement of at least one chiasma per chromosome. The Sturt model and truncated Poisson model are both count-location models with this feature. We show that the truncated Poisson model can also be expressed as a stationary renewal model, while the Sturt model cannot. More generally, we show that there is only one family of count-location models for the chiasma process that can also be expressed as stationary renewal models. The models in this family can exhibit either positive or negative interference.

Mesh:

Year:  2000        PMID: 10924487      PMCID: PMC1461181     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  10 in total

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Authors:  E Sturt
Journal:  Ann Hum Genet       Date:  1976-11       Impact factor: 1.670

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Authors:  H Zhao; T P Speed
Journal:  Genetics       Date:  1996-04       Impact factor: 4.562

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Authors:  D E Goldgar; P R Fain
Journal:  Am J Hum Genet       Date:  1988-07       Impact factor: 11.025

5.  Statistical analysis of chromatid interference.

Authors:  H Zhao; M S McPeek; T P Speed
Journal:  Genetics       Date:  1995-02       Impact factor: 4.562

6.  Modeling interference in genetic recombination.

Authors:  M S McPeek; T P Speed
Journal:  Genetics       Date:  1995-02       Impact factor: 4.562

7.  Statistical analysis of crossover interference using the chi-square model.

Authors:  H Zhao; T P Speed; M S McPeek
Journal:  Genetics       Date:  1995-02       Impact factor: 4.562

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Authors:  E Foss; R Lande; F W Stahl; C M Steinberg
Journal:  Genetics       Date:  1993-03       Impact factor: 4.562

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Journal:  Ann Hum Genet       Date:  1979-07       Impact factor: 1.670

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Authors:  U Liberman; S Karlin
Journal:  Theor Popul Biol       Date:  1984-06       Impact factor: 1.570

  10 in total
  2 in total

1.  The length of the intact donor chromosome segment around a target gene in marker-assisted backcrossing.

Authors:  M Frisch; A E Melchinger
Journal:  Genetics       Date:  2001-03       Impact factor: 4.562

2.  Integrating Nonadditive Genomic Relationship Matrices into the Study of Genetic Architecture of Complex Traits.

Authors:  Alireza Nazarian; Salvador A Gezan
Journal:  J Hered       Date:  2015-12-27       Impact factor: 2.645

  2 in total

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